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贛南原中央蘇區(qū)農(nóng)村貧困測(cè)度及其致貧因素分析

發(fā)布時(shí)間:2018-07-07 12:57

  本文選題:贛南原中央蘇區(qū) + 貧困。 參考:《江西農(nóng)業(yè)大學(xué)》2016年碩士論文


【摘要】:我國(guó)現(xiàn)階段的一個(gè)重要發(fā)展目標(biāo)就是消除貧困,這也是人類社會(huì)的共同追求。中國(guó)作為世界上最大的農(nóng)業(yè)國(guó)和人口最多的國(guó)家,始終在堅(jiān)持不懈的致力于消除貧困問(wèn)題,所取得的成績(jī)得到了全世界的贊賞。我國(guó)的農(nóng)業(yè)大省江西省境內(nèi)目前還廣泛分布著很多貧困人口,國(guó)家投入了很多力量用于對(duì)該省的扶貧攻堅(jiān)工作!吨袊(guó)農(nóng)村扶貧開(kāi)發(fā)綱要(2011-2020)》頒布以后,進(jìn)一步提升了扶貧標(biāo)準(zhǔn),把人均收入低于2300元的人群納入扶貧范圍,按照該標(biāo)準(zhǔn)江西省原中央蘇區(qū)的貧困人口數(shù)量將進(jìn)一步擴(kuò)大。因此,解決贛南原中央蘇區(qū)農(nóng)村貧困是中國(guó)社會(huì)經(jīng)濟(jì)發(fā)展中一個(gè)突出嚴(yán)峻的問(wèn)題。本文在針對(duì)贛南貧困發(fā)生率進(jìn)行描述性分析,在對(duì)贛南貧困狀況進(jìn)行測(cè)度時(shí)用到了層次分析法,并對(duì)影響因子進(jìn)行了選擇,在此基礎(chǔ)上構(gòu)建了面板數(shù)據(jù)模型對(duì)個(gè)體和時(shí)刻上的變動(dòng)情況進(jìn)行分析。本文的主要工作內(nèi)容具體如下:第一、數(shù)據(jù)的探索性分析。對(duì)江西省2006年-2014年貧困發(fā)生率數(shù)據(jù)、贛南13個(gè)縣歷年貧困發(fā)生率數(shù)據(jù)進(jìn)行簡(jiǎn)要探索性分析,對(duì)贛南貧困狀況分布進(jìn)行圖表分析。研究結(jié)果表明,贛南原中央蘇區(qū)農(nóng)村人口占比較大,生活質(zhì)量較低,經(jīng)濟(jì)結(jié)構(gòu)制約了經(jīng)濟(jì)發(fā)展,生產(chǎn)要素匱乏導(dǎo)致貧困發(fā)生率較高。第二、通過(guò)層次分析法測(cè)度贛南貧困整體狀況。對(duì)贛南原中央蘇區(qū)進(jìn)行綜合分析,結(jié)合生活質(zhì)量、基礎(chǔ)保障、經(jīng)濟(jì)條件選取合適影響因素,通過(guò)層次分析法計(jì)算結(jié)果顯示,與江西省平均水平相比,贛南原中央蘇區(qū)農(nóng)村貧困程度為0.725。在各縣比較中,可以將贛南13縣劃分為三種程度的貧困地區(qū):(1)特別貧困縣區(qū),主要是指農(nóng)村貧困度高于0.725的縣區(qū),包括信豐、于都、興國(guó)、黎川四縣,此四縣農(nóng)村受經(jīng)濟(jì)水平和生活質(zhì)量、基礎(chǔ)保障的影響,處于特別貧困狀態(tài);(2)中等貧困縣區(qū),在贛南13縣中,農(nóng)村貧困度與13農(nóng)村貧困度相當(dāng)?shù)目h區(qū)有上猶、崇義、安遠(yuǎn)、寧都、會(huì)昌5縣,這些縣區(qū)的農(nóng)村貧困度在0.725上下,代表了贛南原中央蘇區(qū)的整體貧困水平;(3)相對(duì)貧困縣區(qū)有四個(gè)縣,分別是尋烏、石城、廣昌、瑞金,此4縣經(jīng)濟(jì)水平、生活質(zhì)量與基礎(chǔ)保障盡管與江西省平均水平尚有一段差距,但在贛南原中央蘇區(qū)中屬于相對(duì)較好的縣區(qū)。第三、根據(jù)層次分析法的結(jié)果,首先確定贛南原中央蘇區(qū)致貧因素,根據(jù)2006-2014年統(tǒng)計(jì)的贛南貧困發(fā)生率優(yōu)化選擇自變量,據(jù)此對(duì)自變量進(jìn)行確定。其次開(kāi)展了實(shí)證分析,對(duì)2006-2014年期間13個(gè)縣的貧困發(fā)生率數(shù)據(jù)進(jìn)行了收集,在此基礎(chǔ)上對(duì)面板數(shù)據(jù)模型進(jìn)行了構(gòu)建。實(shí)證結(jié)果表明:農(nóng)業(yè)貸款與貧困度具有負(fù)相關(guān)關(guān)系,表示在投入足夠的農(nóng)業(yè)貸款前提下,可以提高農(nóng)村地區(qū)的經(jīng)濟(jì)發(fā)展水平,相對(duì)提高機(jī)械化水平,進(jìn)而促進(jìn)貧困度的降低。同時(shí),農(nóng)村從業(yè)人數(shù)、有效灌溉面積和貧困度的關(guān)系為負(fù)相關(guān)。另外,農(nóng)村公路里程數(shù)與農(nóng)村貧困度呈現(xiàn)正相關(guān)的關(guān)系。根據(jù)上述結(jié)論,也為后文提出針對(duì)性的完善對(duì)策和建議提供了依據(jù)和支持。強(qiáng)調(diào)應(yīng)該完善政策支持,進(jìn)一步強(qiáng)化政策扶持力度,有效引導(dǎo)和轉(zhuǎn)移農(nóng)村剩余勞動(dòng)力,加大村民教育力度,提高提高人口素質(zhì),完善蘇區(qū)農(nóng)村基礎(chǔ)設(shè)施,完善蘇區(qū)農(nóng)村社會(huì)保障,形成城鄉(xiāng)統(tǒng)籌保障體系以及加大蘇區(qū)農(nóng)村金融機(jī)構(gòu)支持力度,引導(dǎo)資金向農(nóng)村流動(dòng)等對(duì)策和措施。通過(guò)本文的研究,不僅全面的了解到了蘇區(qū)農(nóng)村貧困的程度以及影響因素,同時(shí)也為相關(guān)決策者制定合理的蘇區(qū)農(nóng)村脫貧政策和措施提供了借鑒和參考。
[Abstract]:An important development goal at the present stage of our country is to eliminate poverty, which is also the common pursuit of the human society. China, as the largest agricultural and most populous country in the world, has always been working unremittingly to eliminate poverty. Its achievements have been appreciated by the world. China's big agricultural province, Jiangxi Province, has been recognized. Many poverty-stricken people were widely distributed in front of the country, and the state invested a lot of power to work hard on the poverty alleviation of the province. After the promulgation of the outline of China's rural poverty alleviation and development (2011-2020), the standard of poverty alleviation was further promoted, and the people with per capita income of less than 2300 yuan were included in the poverty alleviation, and the poor people of the original Central Soviet Area of Jiangxi province were in accordance with the standard. Therefore, the solution of rural poverty in the original Central Soviet Area in southern Jiangxi is a serious problem in the development of China's social and economic development. In this paper, a descriptive analysis of the incidence of poverty in southern Jiangxi is described, and the analytic hierarchy process is used to measure the poverty in southern Jiangxi, and the influence factors are selected and the base is selected. The main contents of this paper are as follows: first, the exploratory analysis of the data, the data of the incidence of poverty in Jiangxi in 2006, the data of the incidence of poverty in the 13 counties of Southern Jiangxi in 13 years, and the distribution of poverty in southern Jiangxi Province, and the distribution of poverty in southern Jiangxi The results show that the rural population of the former central Jiangxi Province is relatively large, the quality of life is low, the economic structure restricts the economic development, the lack of production factors leads to the high incidence of poverty. Second, the overall situation of poverty in southern Jiangxi is measured by the analytic hierarchy process. In comparison with the average level of Jiangxi Province, the degree of poverty in the rural areas of the southern Jiangxi Province is 0.725. in the comparison of the counties, and the 13 counties in southern Jiangxi can be divided into three poverty-stricken areas: (1) the poverty-stricken county area, mainly refers to the rural poverty. The county areas of higher than 0.725, including Xinfeng, Yudu, Xingguo and Lichuan four counties, are in special poverty state in the four counties, which are affected by the economic level, the quality of life and the basic guarantee. (2) in the 13 counties of South Jiangxi, the rural poverty and the 13 rural poverty are in the county of Shangu, Chong Yi, Anyuan, Ningdu, and Huichang 5 counties. The degree of rural poverty in the area is 0.725, representing the overall poverty level of the former Central Soviet Area in South Jiangxi; (3) there are four counties in the relatively poor counties, namely, Xunwu, stone city, Guangchang and Ruijin, the economic level of the 4 counties, the quality of life and the basic guarantee, although there is a gap between the average water level of Jiangxi Province, but in the original Central Soviet Area of South Jiangxi is relative. The better county area. Third, according to the results of the analytic hierarchy process, we first determine the factors causing poverty in the original central Jiangsu Province, and select the independent variables according to the rate of poverty in southern Jiangxi in 2006-2014 years. Then the independent variables are determined. Secondly, the empirical analysis is carried out, and the data of the incidence of poverty in 13 counties in 2006-2014 years have been collected. On the basis of this, the panel data model is constructed. The empirical results show that the agricultural loan has a negative correlation with the degree of poverty, which indicates that under the premise of sufficient agricultural loans, it can improve the economic development level in rural areas, improve the level of mechanization relatively, and then promote the reduction of poverty. At the same time, the number of employees in rural areas can be reduced. The relationship between effective irrigation area and poverty degree is negative correlation. In addition, rural road mileage has a positive correlation with rural poverty. According to the above conclusions, it also provides the basis and support for the further improvement countermeasures and suggestions. It emphasizes that the policy support should be improved, the policy support should be strengthened, the effective guidance and transfer should be strengthened. To move the surplus rural labor force, increase the education of the villagers, improve the quality of the population, improve the rural infrastructure in the Soviet Area, improve the rural social security of the Soviet Area, form the urban and rural social security system, and increase the support for the rural financial institutions in the Soviet Area, and guide the flow of funds to the rural areas. The degree and influencing factors of rural poverty in the Soviet area were understood, and the policy and measures for the decision makers to formulate reasonable rural poverty reduction policies and measures in the rural areas were also provided for reference and reference.
【學(xué)位授予單位】:江西農(nóng)業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類號(hào)】:F323.8

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